Data Control in Healthcare

Modern business success is based on the capacity to collect, organize and make use of huge amounts of data. It is difficult to manage the data in healthcare and utilize it to improve patient care. The volume of data produced by hospitals is immense however, most of it is not used due to inefficiency and the absence of tools to manage it effectively.

The goal of data control is to protect and govern the life-cycle of data. This involves processes to ensure the accuracy, consistency, and integrity of data while also protecting sensitive information. Effective data control permits audit trails, tracking data usage, and accountability to identify weaknesses.

Data Control gives you a an overall view of the file systems on your network. It identifies files that contain Personal Identifiable Information and displays them on a map along with their indexed locations on computers in your network. Indexed data is discovered and classified in real-time from data at rest (files residing on the file system) and data in use (operations carried out on these files with PII) as well as data in motion (data exfiltration).

Data Control offers a variety of different access control models based on the kind of data you need to manage. For example, an attribute-based access control (ABAC) model allows access based on attributes and environmental conditions like time and location. This model is more flexible than access control based on role (RBAC) which assigns privileges according to objects and users.

Leave a Comment

Your email address will not be published. Required fields are marked *

Scroll to Top